Estimation of Internal Motion for Quantitative Improvement of Lung Tumor in Small Animal.
- Author:
Jung Woo YU
1
;
Sang Keun WOO
;
Yong Jin LEE
;
Kyeong Min KIM
;
Jin Su KIM
;
Kyo Chul LEE
;
Sang Jun PARK
;
Ran Ji YU
;
Joo Hyun KANG
;
Young Hoon JI
;
Yong Hyun CHUNG
;
Byung Il KIM
;
Sang Moo LIM
Author Information
1. Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences, Seoul, Korea. skwoo@kcch.re.kr
- Publication Type:Original Article
- Keywords:
Small animal PET;
Molecular sieve;
Internal motion estimation;
Organ motion prediction
- MeSH:
Animals;
Lung;
Veins
- From:Korean Journal of Medical Physics
2011;22(3):140-147
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The purpose of this study was to estimate internal motion using molecular sieve for quantitative improvement of lung tumor and to localize lung tumor in the small animal PET image by evaluated data. Internal motion has been demonstrated in small animal lung region by molecular sieve contained radioactive substance. Molecular sieve for internal lung motion target was contained approximately 37 kBq Cu-64. The small animal PET images were obtained from Siemens Inveon scanner using external trigger system (BioVet). SD-Rat PET images were obtained at 60 min post injection of FDG 37 MBq/0.2 mL via tail vein for 20 min. Each line of response in the list-mode data was converted to sinogram gated frames (2~16 bin) by trigger signal obtained from BioVet. The sinogram data was reconstructed using OSEM 2D with 4 iterations. PET images were evaluated with count, SNR, FWHM from ROI drawn in the target region for quantitative tumor analysis. The size of molecular sieve motion target was 1.59x2.50 mm. The reference motion target FWHM of vertical and horizontal was 2.91 mm and 1.43 mm, respectively. The vertical FWHM of static, 4 bin and 8 bin was 3.90 mm, 3.74 mm, and 3.16 mm, respectively. The horizontal FWHM of static, 4 bin and 8 bin was 2.21 mm, 2.06 mm, and 1.60 mm, respectively. Count of static, 4 bin, 8 bin, 12 bin and 16 bin was 4.10, 4.83, 5.59, 5.38, and 5.31, respectively. The SNR of static, 4 bin, 8 bin, 12 bin and 16 bin was 4.18, 4.05, 4.22, 3.89, and 3.58, respectively. The FWHM were improved in accordance with gate number increase. The count and SNR were not proportionately improve with gate number, but shown the highest value in specific bin number. We measured the optimal gate number what minimize the SNR loss and gain improved count when imaging lung tumor in small animal. The internal motion estimation provide localized tumor image and will be a useful method for organ motion prediction modeling without external motion monitoring system.
